a world where computing and computing technologies are growing at an ever-increasing rate, students need meaningfully situated opportunities to learn how to thinkcomputationally. Defined as a creative way to approach tasks or problems using concepts,practices, and perspectives from computer science, computational thinking holds promise for alllevels of education, especially K-12 classrooms [1]. Efforts to advance computational thinking ineducation include increased attention to the dispositions that people display when engaging incomputational thinking [2]. The study described in this paper extends these efforts by examiningthe impact of a summer professional development institute on teachers’ computational thinkingdispositions. As
Paper ID #9778A Study of Pre-Algebra Learning in the Context of a Computer Game-MakingCourseErin Shaw, University of Southern California Erin Shaw is a Computer Scientist at the University of Southern California’s Information Sciences In- stitute, a research center at the USC Viterbi School of Engineering. Her research focuses on modeling and assessing student knowledge in the areas of science and mathematics, experimenting with new tech- nologies for aiding assessment in distance learning, and studying computer mediated social dialogue and team collaboration in post-secondary engineering education. She received an MA in
at Boise State University. She received her Doctor of Education degree in Instructional Technology from Texas Tech University, and her Master’s degree in Curriculum and Instruction, with a specialization in Computer-based Education, from Southern Illinois University, Carbondale, IL. Her research interests have been focused on the development of self-regulated learning strategies for adult learners, and online teaching and learning. She is currently conducting research on retention issues in online distance education.Joanna Guild, Boise State University Joanna Guild is Special Lecturer for the Department of Mathematics at Boise State University. She obtained her M.S. in Mathematics from Boise
AC 2012-3939: USING MEDIAWIKI TO ENHANCE MATHEMATICS LEARN-ING IN ENGINEERING SCHOOLSIng. Jorge A. Samayoa, Galileo University and Purdue University Jorge A. Samayoa holds a B.S. in electronics and computer science, a M.S. in operation research, and a M.S. in applied mathematics. In 2003, he started teaching undergraduate courses in mathematics at the Engineering School of Galilleo University and has taught courses at Francisco Marroquin University, Guatemala, and Texas A&M University, College Station, Texas. In 2004, he founded the Teaching As- sistants Department of Galileo University, where he was responsible for all the Teaching Assistants of several schools of Galileo University. In 2006, he was awarded the
AC 2012-4861: USING ONLINE QUIZZES AND DISCUSSION FORUMSTO ENHANCE LEARNING NUMERICAL METHODSDr. Bipin K. Pai, Purdue University, Calumet Bipin K. Pai has a B.S., aeronautical engineering, Indian Institute of Technology, Madras, India, 1972; a M.S., mechanical engineering, University of Rochester, 1973; and a Ph.D., mechanical engineering, University of Rochester, 1978. He was Purdue University, Calumet, Director of Honors Program, 2005- present; Purdue University, Calumet, professor of mechanical engineering, 1991-present, full-time; Pur- due University, Calumet, Associate Professor of mechanical engineering, 1984-1991, full-time; and Pur- due University, Calumet, Assistant Professor of mechanical engineering, 1979
AC 2011-2537: ENHANCE ENGINEERING COLLEGE MATH TEACH-ING WITH GAMING AND VIRTUAL REALITY LEARNING MODULESLin Li, Prairie View A&M University Dr. Lin Li is an assistant professor in the Department of Computer Science at Prairie View A&M Uni- versity. He received his Ph.D. in Computer Science from the University of Nebraska-Lincoln in 2004. Before that, he received his B.S. and M.E. from Beijing Institute of Technology and Chinese Academy of Sciences, in 1996 and 1999, respectively. His research interests include Computer Networks, Educational Technology, and Web Applications and Information Management. His research has been supported by NSF, DOE, etc.Yonggao Yang, Prairie View A&M University Dr
Paper ID #30974The Use of Computer Programming in a Secondary Mathematics ClassJaCoya Thompson, Northwestern University JaCoya Thompson is a PhD student in the Computer Science Department at Northwestern University. She is a research assistant on the Computational Thinking in STEM project. Her research interests include the use of computational tools to support novice learner’s exploration of mathematics concepts in formal learning environments.Dr. Sally PW Wu, Northwestern University Sally P.W. Wu is the Director of Curriculum Development at Northwestern University. Her work on the Computational Thinking in STEM
Paper ID #27047Active, Topic-centered LearningIng. Guisela Alejandra Illescas Ms, Universidad Galileo Guisela Illescas is the Administrative Coordinator and Assistant Professor of the Applied Math Deparment in Universidad Galileo. She holds a B.S. in Computer Science and a Master in Reingeneering.Dr. Alberth E. Alvarado, Universidad Galileo Alberth Alvarado received (with honors) the B.S. degree in Electronics and Computer Science Engineer- ing from Universidad Francisco Marroqu´ın in 2004; the M.S. degree in Applied Mathematics and a Ph.D. in Industrial Engineering from the University of Illinois at Urbana-Champaign in 2010
cultivate deep learning. Their analysis found that deep learning was reported (bystudents) to be higher after the course and that the main contextual factor associated withenhancing deep learning was their innovative assessment.The Computer Assisted Exam with Student Reflection for Partial Credit (CAESR4PC)In CAESR4PC, students first take a computer assisted exam with blank paper to work out theiranswer in an essay style format. CAESR4PC exam questions can be delivered through anyonline assessment platform such as WebCT®, WileyPlus®, MapleTA®, or MyMathLab®.Exams are initially graded by the computer system based on binary (right/wrong) answers.Following the exam, student work is digitized (scanned) to an online system that allows studentto view
Paper ID #23801Infusion of Big Data Concepts Across the Undergraduate Computer ScienceMathematics and Statistics CurriculumDr. Carl Pettis, Alabama State University Dr. Carl S. Pettis is a Professor of Mathematics at Alabama State University. He received his BS degree in 2001 and his MS degree in 2003 both from Alabama State University in Mathematics. Dr. Pettis received his PhD in Mathematics from Auburn University in 2006. He currently serves as the Interim Associate Provost for the Office of Academic Affairs.Dr. Rajendran Swamidurai, Alabama State University Dr. Rajendran Swamidurai is an Associate Professor of Computer
andmathematics. Additionally, a so-called mathematics computer course is offered with capacity fora part of the participants of the introductory mathematics course. In this two-week course theparticipants learn how to handle the Linux operating system, how to employ a computer algebrasystem (Maple) and they obtain an introduction to the scientific text processing system LATEX.We investigated if the mathematics bridge course and the mathematics computer course lead to abetter academic performance by the students in their later courses.IntroductionMathematical comprehension and proficiency are some of the most important utensils ofengineers and natural scientists. Based on the high degree of abstraction of mathematics for mostfreshmen in engineering and
and organizations that provide free course materials relevant to engineeringcourses offered at the authors' home institutions. Researches also examined a past moduledeveloped by one of the authors that implemented light doses of mathematical modeling thataccommodated the tight schedule of various mathematics courses taught by those authors. Basedon polarized feedback from students who participated in these past modules, the authors beganexploring ways to address the diverse learning needs of entry level computer science, andengineering students. Page 13.1000.2Examination of past modulesPast modules were designed to facilitate modeling behind
develop abilities in critical thinking, problem solving, written and oral communication, quantitative analysis, leadership and teamwork, ethics and values awareness, and information technology b. The student will acquire a strong background in applied mathematics with an emphasis on computational methods c. The student will acquire a foundation in physics, computing tools and engineering science necessary to understand how each relates to realistic applications in at least one science application area d. The student will be exposed to computational applications in the sciences and engineering. The student will learn how to synthesize the mathematics, computing, physics, and engineering to
AC 2012-3731: INTERACTIVE MATH LEARNING FOR STEM STUDENTSDr. Yonghui Wang, Prairie View A&M University Yonghui Wang received the B.S. degree in technical physics from Xidian University, Xi’an, China, in 1993, the M.S. degree in electrical engineering from Beijing Polytechnic University, Beijing, China, in 1999, and the Ph.D. degree in computer engineering from Mississippi State University, Starkville, M.S., in 2003. From 1993 to 1996, he was an Engineer with the 41st Electrical Research Institute, Bengbu, China. From July 1999 to December 1999, he worked as an IT Specialist in IBM China, Beijing, China. From 2000 to 2003, he was a Research Assistant with the Visualization, Analysis, and Imaging Labora- tory
the followingstandards.CCSS.MATH.CONTENT.6.SP.B.5 [6]: Summarize numerical data sets in relation to theircontext, such as by: ● CCSS.MATH.CONTENT.6.SP.B.5.A: Reporting the number of observations. ● CCSS.MATH.CONTENT.6.SP.B.5.B: Describing the nature of the attribute under investigation, including how it was measured and its units of measurement. ● CCSS.MATH.CONTENT.6.SP.B.5.D: Relating the choice of measures of center and variability to the shape of the data distribution and the context in which the data were gathered.ISTE Empowered Learner [7] ● 1c: Students use technology to seek feedback that informs and improves their practice and to demonstrate their learning in a variety of ways.ISTE Computational Thinker
purposes ofhuman benefit. Over the last century, calculators, computers, computer languages and softwarehave been developed for the purposes of rapid number crunching. However, questions remainregarding the influence of student learning using this approach. What impact of learning numbercrunching does this have on young engineers? Must engineers rely on a computer or calculator?As part of ABET accreditation and curriculum programs at most institutions, students arerequired to be proficient in the basic principles of engineering mathematics, specifically:algebra, geometry, trigonometry, probability, statistics, calculus, and differential equations. Formost civil engineering jobs, a working knowledge of calculus and differential equations isseldom
AC 2009-1873: IMPROVING STUDENTS' LEARNING IN PRECALCULUS WITHE-LEARNING ACTIVITIES AND THROUGH ANALYSES OF STUDENTS'LEARNING STYLES AND MOTIVATIONAL CHARACTERISTICSSeung Youn Chyung, Boise State University Yonnie Chyung is Associate Professor in the Department of Instructional and Performance Technology at Boise State University. She received her Doctor of Education degree in Instructional Technology from Texas Tech University, and her Master’s degree in Curriculum and Instruction, with a specialization in Computer-based Education, from Southern Illinois University, Carbondale, IL. Her research interests have been focused on the development of self-regulated learning strategies for adult learners
Paper ID #29911Mathematics Content of an Undergraduate Course on Deep LearningProf. Yosi Shibberu, Rose-Hulman Institute of Technology Dr. Yosi Shibberu is professor of mathematics at Rose-Hulman Institute of Technology. He has taught undergraduate courses on data mining, machine learning, bioinformatics and computational biology. Dr. Shibberu spent a year at Jimma University, Ethiopia, as a Fulbright Scholar and formerly held the en- dowed chair for innovation in science, engineering and mathematics education at Rose-Hulman Institute of Technology. c American Society for Engineering Education, 2020
of Calculus.Dr. Eliud Quintero, Tecnologico de Monterrey (ITESM) PhD in Innovative Education by the Monterrey Institute of Technology and Higher Education (ITESM). Degree in Mathematics by UANL, in Monterrey, Mexico. Interested in research areas such as educational technology for the learning of mathematics, teaching - learning of calculus, visualization, analysis of multimodal production of signs.Prof. Pablo Guillermo Ramirez, Tecnologico de Monterrey Professor of Electrical Engineering department, Engineering School at Tecnologico de Monterrey, Mon- terrey Campus. His research and development areas are: Virtual and Augmented Reality, Physical In- terfaces and Electronic Systems, Human Computer Interaction
’ development of conceptualunderstanding in the first calculus course. This is done by offering a secure and friendly learningenvironment where students are invited to actively contribute to the knowledge-building process.To achieve this aim, students have to be able to connect abstract mathematical concepts to theirexperience, understand the role of mathematical definitions in preparing them for solvingunforeseen problems, and develop insight into the limits of a definition. Additionally, applicationexamples, from computer science in this case, will be used to strengthen the ties betweenmathematics and their future professional field, thus making learning of mathematics an enjoyableand motivating experience and at the same time boosting the students
Paper ID #7891Robotics: Enhancing Pre-College Mathematics Learning with Real-worldExamplesDr. Ravi T. Shankar, Florida Atlantic University Dr. Ravi Shankar is a professor in the computer and electrical engineering and computer science (CEECS) department in the college of engineering and computer science (COECS) at Florida Atlantic University (FAU) at Boca Raton, Fla. He is the director of a college-wide center on systems integration. He has a Ph.D. from the University of Wisconsin, Madison, Wisc., and an M.B.A. from FAU. He is a registered Professional Engineer in the State of FL, a Senior member of IEEE, and a fellow of
and application of mathematics in all aspects of the course delivery. Lesson 4: The tests and exams should reflect the importance of mathematical knowledge and application of the knowledge in engineering-related problems. Lesson 5: Integrate and incorporate modern computing and mathematical tools in engineering mathematic courses to improve and facilitate the learning process. Lesson 6: Course syllabus must include clear explanations of course expectations, policies, and grading system. These lessons discussed in the paper may be insightful and useful to other facultymembers trying to develop such a course or teaching similar courses
AC 2010-770: ASSESSING ENGINEERING STUDENTS’ ABILITY TO USE THEMATHEMATICS THEY HAVE LEARNEDMaria Terrell, Cornell University Math Dept.Robert Terrell, Cornell UniversityLisa Schneider, Cornell University Page 15.201.1© American Society for Engineering Education, 2010 Assessing Engineering Students’ Ability to Use the Mathematics They Have LearnedAbstractA Mathematics Applications Inventory (MAI) is being developed by engineering andmathematics faculty at Cornell University to assess students’ ability to apply the mathematicsthey learn in freshman calculus to engineering-related problems. This paper reports on threeaspects of this work
Paper ID #15737Peer-Led Team Learning in an Introductory Calculus CourseDr. James E. Lewis, University of Louisville James E. Lewis, Ph.D. is an Assistant Professor in the Department of Engineering Fundamentals in the J. B. Speed School of Engineering at the University of Louisville. His research interests include paral- lel and distributed computer systems, cryptography, engineering education, undergraduate retention and technology (Tablet PCs) used in the classroom.Dr. Gerold Willing, University of Louisville Gerold (Jerry) A. Willing is an Associate Professor in the Chemical Engineering Department at the Uni
AC 2012-3176: USING PROJECTS TO STIMULATE LEARNING IN MATH-EMATICS AND ENGINEERING MATHEMATICS COURSESDr. Hassan Moore, University of Alabama, Birmingham Page 25.1437.1 c American Society for Engineering Education, 2012 Using projects to stimulate learning in mathematics and engineering mathematics coursesAbstractAn engineering mathematics course – developed in the fall of 2008 at the University of Alabamaat Birmingham – teaches concepts in both Calculus III and Differential Equations. An importantaspect of the course is the implementation of student projects, meant for individual performance,which
Paper ID #20131Teaching Mathematics using Active Learning: Teachers’ Preparation in ChileProf. Angeles Dominguez, Tecnologico de Monterrey, Monterrey, Mexico, and Universidad Andres Bello, San-tiago, Chile Angeles Dominguez is a Professor of the Department of Mathematics within the School of Engineering, a researcher at the School of Education, and the Director of the Master of Education Program at the Tec- nologico de Monterrey, Mexico. Also, she is currently collaborating with the School of Engineering at the University Andres Bello at Santiago, Chile. Angeles holds a bachelor degree in Physics Engineering from
technology. Many faculty do not want to spend time learninghow to use the Tablet PCs or the software; they do not want to deal with the distribution ofequipment to the students (rolling carts into class, taking out and putting back the computers,helping with logins, etc.); and they are easily frustrated by any glitch in the technology (freeze-ups, screen-resolution problems, etc.). The truth is that the technology takes little time to learn,the students know the routine after a week (they pick up the computers from the carts as soon asthey enter class and login immediately), and the glitches are very few and can be remedied. Onereason for placing the majority of Tablet PCs from the 2007 Hewlett Packard Leadership Grantinto a new multidisciplinary
more warm,outgoing and socially bold than their predecessors. Using these characteristics as a guide, thereare a variety of web-based technologies which can be used to more effectively reach millennialstudents and engage them in learning mathematics. This paper will review use of onlinehomework, e-mail and online tutoring, as well as Web 2.0 technologies such as blogs, wikis andpodcasts which focus on social interaction. Practical strategies for implementing thesetechnologies in a college-level mathematics course will be discussed, along with both studentand instructor feedback from their use in calculus.BackgroundToday’s traditional college-aged students, born between the years of 1974 and 1994, belong tothe millennial generation. These
pursue their own studies and efforts in learning. By placing some of theappropriate foundational mathematical concepts in an engineering context and integrating theseconcepts with their other courses it is possible for such motivation to take place6,7.In the fall of 2010, a new component was added to a second-year Advanced EngineeringMathematics (AEM) courses which is a required course in the electrical and computerengineering (ECE) program. This component was based around the use of Matlab, and wasintroduced for two main reasons. First, it was hoped that by allowing the students to engage withthe mathematical concepts in the course through numerical computation their intrinsic interest inthe material would increase. Indeed, Matlab enables
environment.Michael Georgiopoulos, University of Central Florida Michael Georgiopoulos is a Professor in the UCF School of Electrical Engineering and Computer Science and the PI of the NSF-funded S-STEM program at UCF entitled the "Young Entrepreneur and Scholar(YES) Scholarship Program" as well as the NSF-funded STEP program entitled "EXCEL:UCF-STEP Pathways to STEM: From Promise to Prominence." Dr. Georgiopoulos' research interests lie in the areas of machine learning, neural networks, pattern recognition and applications in signal/image processing, communications, medical field, manufacturing, transportation engineering, amongst others. Dr. Georgiopoulos is a Director of the Machine Learning